Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The rapid adoption of AI, particularly generative AI tools like ChatGPT and Copilot, presents both immense productivity opportunities and significant data security challenges for organizations. While employees increasingly leverage AI for various business functions, this widespread use often occurs outside sanctioned channels, creating what's known as shadow AI.

Artificial intelligence is rewriting the rules for cybersecurity on both sides of the battle. Cloud adoption, a broadening attack surface, and AI-fueled cyber threats are driving organizations to rethink their approach to security. Discussions on the best way to adapt to a highly dynamic threat environment will naturally steer toward updating SIEM, as it is core to today’s security operations.

Modern security leaders know that account takeover detection (ATO) isn’t just about spotting a bad login. ATO attacks are part of a broader scam lifecycle – starting with phishing or impersonation, escalating into credential harvesting, and ending with unauthorized access. To stop ATOs effectively, security teams need visibility into this full progression, not just the login attempt. That’s why a true ATO prevention strategy starts long before a password is entered.

APIs are now prime targets for attackers, and as your API landscape grows, so does the challenge of securing it. AppTrana’s API protection just got more powerful—with new enhancements designed to deepen discovery, increase visibility, and strengthen security.

For modern e-commerce sites and retail platforms, protecting customer data requires more than backend firewalls—it demands visibility into the browser-side security layer. Increasingly, attackers like Magecart target this blind spot using malicious JavaScript, often injected through third-party scripts. These skimming attacks result in stolen payment data, financial losses, and compliance violations under both PCI DSS and the General Data Protection Regulation (GDPR).

As part of our ongoing tracking of the threat actor TA4557 (also known as Venom Spider), the Arctic Wolf Labs team discovered a new campaign targeting corporate human resources departments and recruiters. The threat group uses phishing techniques to drop an enhanced version of a potent backdoor called More_eggs onto victim devices.

The best secure email gateways mimic the tried and true “defense in depth” cybersecurity strategy by using a layered approach, including advanced features that make effective use of AI. The results are compelling, especially when two email security tools are used together, such as employing an additional secure email gateway to augment Microsoft Defender for Office 365 email security.

With the increasing usage of AI systems in critical infrastructure and business operations, there is an inevitable need to secure these systems. AI pentesting is a domain-specific security assessment designed to identify and remediate vulnerabilities unique to AI systems, including machine learning models, training pipelines, and their underlying infrastructure.

Network risk assessment is the cornerstone of any good cybersecurity strategy, not just another compliance checkbox. However, organizations that regularly and systematically assess the threat to their networks tend to be significantly more resilient to threats and intrusive actions and consistently show greater continuity of operations under attack.

It’s easy to think of ISO 27001 as a simple checkbox requirement to get through quickly. Still, technical vulnerabilities in constantly changing environments require more than short-term fixes, as ISO 27001 requires a structured approach for managing them specifically. Here’s the kicker: 60% of breaches exploited known vulnerabilities for which patches were available, but were either delayed or missed. Although the policy may exist, its execution often falls short in the details.